Data Conformity Evaluation: A Novel Approach for IoT Security
Enrico Giulio Maria Verzegnassi, Konstantinos Tountas, Dimitris A. Pados, Francesca Cuomo · 2019
We consider the problem of attack detection for IoT networks based only on passively collected network parameters. For the first time in the literature, we develop a blind attack detection method based on data conformity evaluation. Network parameters collected passively, are converted to their conformity values through iterative projections on refined L1-norm tensor subspaces. We demonstrate our algorithmic development in a case study for a simulated star topology network. Type of attack, affected devices, as well as, attack time frame can be easily identified.